Database
DatabaseReader #
Bases: BaseReader
Simple Database reader.
Reads data from a database via a query and returns LlamaIndex Documents. Allows specifying columns for metadata (with optional renaming) and excluding columns from text content. Can also generate custom Document IDs from row data.
The schema
parameter is not supported when passed with sql_database
.
If the sql_database
object was created with a schema, it will be used.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
sql_database
|
Optional[SQLDatabase]
|
SQL database to use,
including table names to specify.
See :ref: |
None
|
engine
|
Optional[Engine]
|
SQLAlchemy Engine object of the database connection. |
None
|
uri
|
Optional[str]
|
uri of the database connection. |
None
|
scheme
|
Optional[str]
|
scheme of the database connection. |
None
|
host
|
Optional[str]
|
host of the database connection. |
None
|
port
|
Optional[int]
|
port of the database connection. |
None
|
user
|
Optional[str]
|
user of the database connection. |
None
|
password
|
Optional[str]
|
password of the database connection. |
None
|
dbname
|
Optional[str]
|
dbname of the database connection. |
None
|
Returns:
Name | Type | Description |
---|---|---|
DatabaseReader |
A DatabaseReader object. |
Note
schema (Optional[str]):
Database schema only honored when a connection object is created
inside this class (i.e. when you pass engine
, uri
, or individual
connection parameters).
If you supply an already-built SQLDatabase
, its internal schema (if
any) is used and this argument is ignored.
Connection patterns#
+----------------------------+-----------+---------------------------------------+
| Pattern | Supports | Notes |
+============================+===========+=======================================+
| sql_database
| ✖ | Pass a pre-configured SQLDatabase
|
| | | if you need schema handling here. |
+----------------------------+-----------+---------------------------------------+
| engine
+ schema
| ✔ | |
+----------------------------+-----------+---------------------------------------+
| uri
+ schema
| ✔ | |
+----------------------------+-----------+---------------------------------------+
| scheme/host/…
+ | ✔ | |
| schema
| | |
+----------------------------+-----------+---------------------------------------+
(schema = database namespace; scheme = driver/dialect, e.g. postgresql+psycopg
)
Source code in llama-index-integrations/readers/llama-index-readers-database/llama_index/readers/database/base.py
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|
lazy_load_data #
lazy_load_data(query: str, metadata_cols: Optional[Iterable[Union[str, Tuple[str, str]]]] = None, excluded_text_cols: Optional[Iterable[str]] = None, document_id: Optional[Callable[[Dict[str, Any]], str]] = None, **load_kwargs: Any) -> Generator[Document, Any, None]
Lazily query and load data from the Database.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
query
|
str
|
SQL query to execute. |
required |
metadata_cols
|
Optional[Iterable[Union[str, Tuple[str, str]]]]
|
Iterable of column names or (db_col, meta_key) tuples to include in Document metadata. If str, the column name is used as key. If tuple, uses first element as DB column and second as metadata key. If two entries map to the same metadata key, the latter will silently overwrite the former - avoid duplicates. |
None
|
excluded_text_cols
|
Optional[Iterable[str]]
|
Iterable of column names to be excluded from Document text. Useful for metadata-only columns. |
None
|
document_id
|
Optional[Callable[[Dict[str, Any]], str]]
|
A function
that takes a row (as a dict) and returns a string to be used as the
Document's |
None
|
**load_kwargs
|
Any
|
Additional keyword arguments (ignored). |
{}
|
Yields:
Name | Type | Description |
---|---|---|
Document |
Document
|
A Document object for each row fetched. |
Source code in llama-index-integrations/readers/llama-index-readers-database/llama_index/readers/database/base.py
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|
load_data #
load_data(query: str, metadata_cols: Optional[Iterable[Union[str, Tuple[str, str]]]] = None, excluded_text_cols: Optional[Iterable[str]] = None, document_id: Optional[Callable[[Dict[str, Any]], str]] = None, **load_kwargs: Any) -> List[Document]
Query and load data from the Database into a list of Documents.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
query
|
str
|
SQL query to execute. |
required |
metadata_cols
|
Optional[Iterable[Union[str, Tuple[str, str]]]]
|
Iterable of column names or (db_col, meta_key) tuples to include in Document metadata. If str, the column name is used as key. If tuple, uses first element as DB column and second as metadata key. If two entries map to the same metadata key, the latter will silently overwrite the former - avoid duplicates. |
None
|
excluded_text_cols
|
Optional[Iterable[str]]
|
Iterable of column names to be excluded from Document text. Useful for metadata-only columns. |
None
|
document_id
|
Optional[Callable[[Dict[str, Any]], str]]
|
A function
that takes a row (as a dict) and returns a string to be used as the
Document's |
None
|
**load_kwargs
|
Any
|
Additional arguments passed to lazy_load_data. |
{}
|
Returns:
Type | Description |
---|---|
List[Document]
|
List[Document]: A list of Document objects. |
Source code in llama-index-integrations/readers/llama-index-readers-database/llama_index/readers/database/base.py
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|
aload_data
async
#
aload_data(query: str, metadata_cols: Optional[Iterable[Union[str, Tuple[str, str]]]] = None, excluded_text_cols: Optional[Iterable[str]] = None, document_id: Optional[Callable[[Dict[str, Any]], str]] = None, **load_kwargs: Any) -> List[Document]
Asynchronously query and load data from the Database into a list.
Implementation uses asyncio.to_thread
; database I/O still
runs in a worker thread, not an async driver.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
query
|
str
|
SQL query to execute. |
required |
metadata_cols
|
Optional[Iterable[Union[str, Tuple[str, str]]]]
|
Iterable of column names or (db_col, meta_key) tuples to include in Document metadata. If str, the column name is used as key. If tuple, uses first element as DB column and second as metadata key. If two entries map to the same metadata key, the latter will silently overwrite the former - avoid duplicates. |
None
|
excluded_text_cols
|
Optional[Iterable[str]]
|
Iterable of column names to be excluded from Document text. Useful for metadata-only columns. |
None
|
document_id
|
Optional[Callable[[Dict[str, Any]], str]]
|
A function
that takes a row (as a dict) and returns a string to be used as the
Document's |
None
|
**load_kwargs
|
Any
|
Additional arguments passed to underlying load methods. |
{}
|
Returns:
Type | Description |
---|---|
List[Document]
|
List[Document]: A list of Document objects. |
Source code in llama-index-integrations/readers/llama-index-readers-database/llama_index/readers/database/base.py
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|